Internet of things and Big Data as potential solutions to the problems in waste electrical and electronic equipment management An exploratory study

Internet of things and Big Data as potential solutions to the problems in waste electrical and electronic equipment management : An exploratory study

Copyright © 2017 Elsevier Ltd. All rights reserved.

Détails bibliographiques
Publié dans:Waste management (New York, N.Y.). - 1999. - 68(2017) vom: 03. Okt., Seite 434-448
Auteur principal: Gu, Fu (Auteur)
Autres auteurs: Ma, Buqing, Guo, Jianfeng, Summers, Peter A, Hall, Philip
Format: Article en ligne
Langue:English
Publié: 2017
Accès à la collection:Waste management (New York, N.Y.)
Sujets:Journal Article Big data Internet of things Radio frequency identification Recycling Waste electrical and electronic equipment Wireless sensor network
Description
Résumé:Copyright © 2017 Elsevier Ltd. All rights reserved.
Management of Waste Electrical and Electronic Equipment (WEEE) is a vital part in solid waste management, there are still some difficult issues require attentionss. This paper investigates the potential of applying Internet of Things (IoT) and Big Data as the solutions to the WEEE management problems. The massive data generated during the production, consumption and disposal of Electrical and Electronic Equipment (EEE) fits the characteristics of Big Data. Through using the state-of-the-art communication technologies, the IoT derives the WEEE "Big Data" from the life cycle of EEE, and the Big Data technologies process the WEEE "Big Data" for supporting decision making in WEEE management. The framework of implementing the IoT and the Big Data technologies is proposed, with its multiple layers are illustrated. Case studies with the potential application scenarios of the framework are presented and discussed. As an unprecedented exploration, the combined application of the IoT and the Big Data technologies in WEEE management brings a series of opportunities as well as new challenges. This study provides insights and visions for stakeholders in solving the WEEE management problems under the context of IoT and Big Data
Description:Date Completed 17.01.2018
Date Revised 02.12.2018
published: Print-Electronic
Citation Status MEDLINE
ISSN:1879-2456
DOI:10.1016/j.wasman.2017.07.037